51 to 57 of 57 Distributed Computing Jobs in London

development; some experience in contract securityProficiency in Golang/GoUnderstand how Compound, dYdX, Kyber, 0x, makerdao worksFamiliar with encryption algorithms, consensus mechanisms, security protocols, distributed computing, smart contracts and other underlying protocols and operating mechanisms are preferredThe environment is that of Facebook or Google, relaxed open with time ...

side environment Understanding of Low Latency Infrastructure Understanding of Trade Order Books Ideally Familiar with encryption algorithms, consensus mechanisms, security protocols, distributed computing. The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with ...

strong Engineering experience - who enjoys solving complex engineering challenges at scale. This role is ideal for someone with a strong software engineering/MLOps, distributed systems or platform engineering background who wants to work at the intersection of machine learning and production infrastructure. As a Senior Engineer … engineers to deploy models safely and efficiently. Own production services, infrastructure and operational excellence practices, including incident management and root cause analysis. Optimise distributed compute workloads and resource utilisation across cloud environments. Drive Infrastructure-as-Code adoption and platform standardisation across machine learning systems. Contribute to architectural decisions across ...

with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader's new program run-time performance. As a distributed compute engineer in a user-facing environment, you'll develop and improve on technical solutions that make research as easy and efficient as possible. … benefits package. CultureHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome ...

environments in the industry. The environment is deeply technical, collaborative and quality driven, with strong expectations around software engineering standards, data integrity, and scalable distributed design. Core Requirements• Strong Computer Science background with 5 years Python engineering in trading or post trade domains Proven experience building data intensive services … working with PostgreSQL and data frame tooling Background in trade booking and FIX protocol integration Ability to design and implement scalable, high availability and distributed architectures Experience building reporting and reconciliation tooling and working with large transactional datasets Understanding of OTC products including CDS, Interest Rate Swaps and Variance ...

operating systems to automation and observability—while gaining exposure to how a world-class investment firm manages its technology infrastructure. Key Responsibilities Manage a distributed compute environment and several petabyte-scale storage systems Install, configure, and monitor RHEL-based Linux environments Troubleshoot hardware and software issues across the stack … Experience with modern software development practices (version control, agile methodologies) Familiarity with infrastructure automation and configuration management tools (Chef, Puppet, or Ansible) Exposure to distributed storage systems and related protocols Experience with observability and monitoring tools (Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Strong written and verbal communication skills Demonstrated ...

increase. Engineers here regularly deal with issues such as market data ingestion, pricing model integration, portfolio aggregation, and the propagation of risk metrics across distributed systems used by the front office. The architecture is evolving toward a service-oriented model designed to support large scale distributed compute across … understanding of how risk is calculated across them Deep knowledge of algorithms, memory management, multithreading and performance optimisation Experience working with large scale distributed systems and high volume market or trade data Familiarity with messaging technologies such as Kafka, AMPS or QPID Python or bash for tooling and automation ...